You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
The config.yml pins tensorflow==1.15. However no Keras version is pinned. Thus, after execution of conda env create -f config/environment.yml latest version of Keras (i.e. 2.4.3) gets installed.
While executing train.py locally, it throws Error “Keras requires TensorFlow 2.2 or higher”
I think pinning appropriate version of keras would help. What it is?
The text was updated successfully, but these errors were encountered:
The config.yml pins tensorflow==1.15. However no Keras version is pinned. Thus, after execution of
conda env create -f config/environment.yml
latest version of Keras (i.e. 2.4.3) gets installed.While executing train.py locally, it throws
Error “Keras requires TensorFlow 2.2 or higher”
I think pinning appropriate version of keras would help. What it is?
The text was updated successfully, but these errors were encountered: